Prediction of the protein conformation via pattern recognition and constraint satisfaction methods

dc.contributor.author	Matkarimov, B.
dc.contributor.author	Takhanov, R.
dc.date.accessioned	2015-10-28T10:28:12Z
dc.date.available	2015-10-28T10:28:12Z
dc.date.issued	2013
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/565
dc.description.abstract	The prediction of the native structure of proteins given their amino acid sequence is one of the central problems in modern computational biology/biophysics/biochemistry and computer science. Today there are more than 80000 3D structures of various biomacromolecules in the open access, e.g. in Protein Data Bank (PDB), and these databases have exponential growth rate. The project goal is to design and implement computing experiments related to biomacromolecular folding. This includes the development of high performance bioinformatics software.	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Nazarbayev University	ru_RU
dc.subject	first research week	ru_RU
dc.subject	bioinformatics software	ru_RU
dc.subject	proteins	ru_RU
dc.subject	biomacromolecules	ru_RU
dc.title	Prediction of the protein conformation via pattern recognition and constraint satisfaction methods	ru_RU
dc.type	Abstract	ru_RU